scholarly journals Magnetic Proximity Sensor Based on Magnetoelectric Composites and Printed Coils

Materials ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1729 ◽  
Author(s):  
Nélson Pereira ◽  
Ana Catarina Lima ◽  
Vitor Correia ◽  
Nikola Peřinka ◽  
Senentxu Lanceros-Mendez ◽  
...  
Keyword(s):  
Polyvinylidene Fluoride ◽  
Magnetic Sensors ◽  
Proximity Sensor ◽  
Magnetoelectric Composites ◽  
Sensing Applications ◽  
Voltage Output ◽  
Machine Safety ◽  
The Internet Of Things ◽  
Proximity Sensing ◽  
Maximum Voltage

Magnetic sensors are mandatory in a broad range of applications nowadays, being the increasing interest on such sensors mainly driven by the growing demand of materials required by Industry 4.0 and the Internet of Things concept. Optimized power consumption, reliability, flexibility, versatility, lightweight and low-temperature fabrication are some of the technological requirements in which the scientific community is focusing efforts. Aiming to positively respond to those challenges, this work reports magnetic proximity sensors based on magnetoelectric (ME) polyvinylidene fluoride (PVDF)/Metglas composites and an excitation-printed coil. The proposed magnetic proximity sensor shows a maximum resonant ME coefficient (α) of 50.2 Vcm−1 Oe−1, an AC linear response (R2 = 0.997) and a maximum voltage output of 362 mV, which suggests suitability for proximity-sensing applications in the areas of aerospace, automotive, positioning, machine safety, recreation and advertising panels, among others.

scholarly journals Smartphone-Enabled Personalized Diagnostics: Current Status and Future Prospects

Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1067
Author(s):  
Karla Jaimes Merazzo ◽  
Joseba Totoricaguena-Gorriño ◽  
Eduardo Fernández-Martín ◽  
F. Javier del Campo ◽  
Eva Baldrich
Keyword(s):  
Mobile Devices ◽  
Point Of Care ◽  
Near Field ◽  
Short Review ◽  
Magnetic Sensors ◽  
Current Status ◽  
Wireless Power ◽  
Communication Devices ◽  
New Applications ◽  
The Internet Of Things

Smartphones are becoming increasingly versatile thanks to the wide variety of sensor and actuator systems packed in them. Mobile devices today go well beyond their original purpose as communication devices, and this enables important new applications, ranging from augmented reality to the Internet of Things. Personalized diagnostics is one of the areas where mobile devices can have the greatest impact. Hitherto, the camera and communication abilities of these devices have been barely exploited for point of care (POC) purposes. This short review covers the recent evolution of mobile devices in the area of POC diagnostics and puts forward some ideas that may facilitate the development of more advanced applications and devices in the area of personalized diagnostics. With this purpose, the potential exploitation of wireless power and actuation of sensors and biosensors using near field communication (NFC), the use of the screen as a light source for actuation and spectroscopic analysis, using the haptic module to enhance mass transport in micro volumes, and the use of magnetic sensors are discussed.

Growth, Structural and Mechanical Characterization and Reliability of Chemical Vapor Deposited Co and Co3O4 Thin Films as Candidate Materials for Sensing Applications

2011 ◽  
Vol 495 ◽  
pp. 108-111 ◽  
Author(s):  
Vasiliki P. Tsikourkitoudi ◽  
Elias P. Koumoulos ◽  
Nikolaos Papadopoulos ◽  
Costas A. Charitidis
Keyword(s):  
Thin Film ◽  
Thin Films ◽  
Elastic Modulus ◽  
Data Storage ◽  
Mechanical Stability ◽  
Chemical Vapor ◽  
Magnetic Sensors ◽  
Functional Coatings ◽  
Sensing Applications ◽  
Chemical Vapor Deposited

The adhesion and mechanical stability of thin film coatings on substrates is increasingly becoming a key issue in device reliability as magnetic and storage technology driven products demand smaller, thinner and more complex functional coatings. In the present study, chemical vapor deposited Co and Co3O4thin films on SiO2and Si substrates are produced, respectively. Chemical vapor deposition is the most widely used deposition technique which produces thin films well adherent to the substrate. Co and Co3O4thin films can be used in innovative applications such as magnetic sensors, data storage devices and protective layers. The produced thin films are characterized using nanoindentation technique and their nanomechanical properties (hardness and elastic modulus) are obtained. Finally, an evaluation of the reliability of each thin film (wear analysis) is performed using the hardness to elastic modulus ratio in correlation to the ratio of irreversible work to total work for a complete loading-unloading procedure.

scholarly journals A Novel Sensor Data Pre-Processing Methodology for the Internet of Things Using Anomaly Detection and Transfer-By-Subspace-Similarity Transformation

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4536 ◽  
Author(s):  
Yan Zhong ◽  
Simon Fong ◽  
Shimin Hu ◽  
Raymond Wong ◽  
Weiwei Lin
Keyword(s):  
Data Mining ◽  
Internet Of Things ◽  
Anomaly Detection ◽  
Sensor Data ◽  
Detection Methods ◽  
The Internet ◽  
Quality Of Data ◽  
Data Mining Algorithms ◽  
Sensing Applications ◽  
The Internet Of Things

The Internet of Things (IoT) and sensors are becoming increasingly popular, especially in monitoring large and ambient environments. Applications that embrace IoT and sensors often require mining the data feeds that are collected at frequent intervals for intelligence. Despite the fact that such sensor data are massive, most of the data contents are identical and repetitive; for example, human traffic in a park at night. Most of the traditional classification algorithms were originally formulated decades ago, and they were not designed to handle such sensor data effectively. Hence, the performance of the learned model is often poor because of the small granularity in classification and the sporadic patterns in the data. To improve the quality of data mining from the IoT data, a new pre-processing methodology based on subspace similarity detection is proposed. Our method can be well integrated with traditional data mining algorithms and anomaly detection methods. The pre-processing method is flexible for handling similar kinds of sensor data that are sporadic in nature that exist in many ambient sensing applications. The proposed methodology is evaluated by extensive experiment with a collection of classical data mining models. An improvement over the precision rate is shown by using the proposed method.

Towards Self-Sensing of DEAP Actuators: Capacitive Sensing Experimental Analysis

2010 ◽  
Author(s):  
Alexander York ◽  
Stefan Seelecke
Keyword(s):  
Energy Efficient ◽  
Low Cost ◽  
Capacitive Sensing ◽  
Pass Filter ◽  
Sensing Applications ◽  
Voltage Output ◽  
Ability To Act ◽  
High Pass ◽  
Effective Sensitivity ◽  
Initial Results

Dielectric Electro-Active Polymers (DEAP’s) have become attractive material for various actuation and sensing applications such as light weight and energy efficient valve and pumping systems. The materials ability to act as both and actuator and a sensor enable DEAP actuators to have “self-sensing” capabilities. This advancement provides low cost actuator systems that do not require external sensors for feedback control. This paper explores the capacitive sensing capabilities of a DEAP actuator under loading conditions typical for pumping and valve applications. The capacitive sensing capabilities of the actuator are tested using a method similar to that used by Jung et al. [1] which uses the DEAP actuator as a variable capacitor in a high pass filter circuit. This sensing circuit produces a direct voltage output when the actuator is displaced. The sensing response of this system is experimentally investigated under mechanical loading. The sensor is shown to have an effective sensitivity of .041 (V/Vexc) / mm. In addition, the initial results of a dual sensing and actuating system are presented.

scholarly journals Investigating Membrane Material and Morphology for Development of Lateral Flow Biosensor

2017 ◽  
Vol 15 (1) ◽  
Author(s):  
R. Shaimi ◽  
A. L. Ahmad ◽  
S. C. Low
Keyword(s):  
Drinking Water ◽  
Protein Binding ◽  
Polyvinylidene Fluoride ◽  
Lateral Flow ◽  
Cellulose Acetate Membrane ◽  
Binding Ability ◽  
Nylon Membrane ◽  
Sensing Applications ◽  
High Protein Binding ◽  
Experimental Findings

Development of membrane for bio–sensing applications, such as the detection of pathogens in drinking water for epidemics control has a huge global impact especially for public health. Membrane that applied in the bio–sensing devices should fulfill requirements such as high binding ability, fast lateral wicking time and low background staining. This paper explores the selection of membranes, including Nitrocellulose membrane (NC), Cellulose Acetate membrane (CA), Polyvinylidene Fluoride membrane (PVDF) and Nylon membrane for the detection of pathogens in water in the most efficient and rapid way. Membrane modification using glutaraldehyde enable the achieved of higher sensitivity of protein binding. Experimental findings (FTIR, porosity, membrane’s binding ability and lateral wicking time) verified the most suitable membrane for bio-sensing application. Among the tested membranes, NC appeared as the most suitable lateral flow membrane as its performances of high protein binding ability and fast lateral wicking time. Throughout this study, we showed the correlation of membrane’s material and morphology to its performances for pathogens detection in drinking water.

scholarly journals Magnetic Property and GMI Effect of MFe2O4 Nanoparticles

2017 ◽  
Vol 33 (2) ◽  
Author(s):  
Dao Son Lam ◽  
Jagan Devkota ◽  
Harikhan Srikanth ◽  
Huong Manh Phan ◽  
Huong Thu Ngo
Keyword(s):  
Saturation Magnetization ◽  
Practical Importance ◽  
Magnetic Sensors ◽  
Superparamagnetic Nanoparticles ◽  
Nano Particles ◽  
Cofe2o4 Nanoparticles ◽  
Precursor Method ◽  
Sensing Applications ◽  
Field Sensitivity ◽  
Nife2o4 Nanoparticles

Abstract: In the present article, we report the biosensor can detect superparamagnetic nanoparticles (less than 10 nm in size) at various and low particle concentrations, which is of the importance role in biosensing applications. The nanoparticle ferrite (Fe3O4), Cobalt ferrite (CoFe2O4), Nickel ferrite (NiFe2O4) nanoparticles were synthesized by the high temperature thermal decomposition precursor method. The saturation of magnetization have significantly increased as the 12 ± 1 nm Fe3O4 (40 emu/g), 6 ± 0.5 nm NiFe2O4 (57 emu/g) and 7 ± 0.5 nm CoFe2O4 (88.6 emu/g) nanoparticles. The saturation magnetization of CoFe2O4 nanoparticle is larger than NiFe2O4, Fe3O4 nanoparticle. The sensitivity of biosensor depend on saturation magnetization of nano particles, thus we have performed a systematic study of the longitudinally excited magneto-inductance effect of an inductive coil with CoFe2O4 nanoparticles is in its core. Our results show that the ([DX/X]) ratios and field sensitivity increase. These results are of practical importance in designing novel magnetic sensors based on the LEMI effect for sensing applications.

scholarly journals Piezoelectric Sensor with a Helical Structure on the Thread Core

2020 ◽  
Vol 10 (15) ◽  
pp. 5073
Author(s):  
Cheoleon Park ◽  
Hojoon Kim ◽  
Youngsu Cha
Keyword(s):  
Polyvinylidene Fluoride ◽  
Output Voltage ◽  
Piezoelectric Sensor ◽  
Helical Structure ◽  
Bending Angle ◽  
Voltage Output ◽  
Flexural Loading ◽  
Smart Textile ◽  
Series Of Experiments ◽  
Sensing Characteristics

In this paper, we introduce a piezoelectric sensor curled on a thread core in a helical structure. In particular, a polyvinylidene fluoride film was curled and fixed on a thread core. A series of experiments were designed to deliver flexural loading to the piezoelectric sensor, to study its sensing characteristics. The experimental results show that the sensing output of the sensor is in phase with the applied flexural loading. In addition, the output voltage of the textile-based piezoelectric sensor was measured according to various flexural loadings. The flexural bending angle applied to the piezoelectric sensor is expected to be a power function of the voltage output. In addition, we demonstrate a smart textile by weaving the piezoelectric sensor.

Design of a Force Sensor Based on Flexure Beams With Piezoresistive and PVDF Elements

2016 ◽  
Author(s):  
Yuzhang Wei ◽  
Qingsong Xu
Keyword(s):  
Polyvinylidene Fluoride ◽  
Output Voltage ◽  
Experimental Studies ◽  
Force Sensor ◽  
Sufficient Accuracy ◽  
Force Sensing ◽  
Biological Cell ◽  
Concept Design ◽  
Cell Injection ◽  
Sensing Applications

Majority of existing methods of measuring micro-force are limited by the sensing elements, which are fixed on the manipulator and not well decoupled from other axes. In this paper, a unique 1-D force sensor with different sensing elements is first proposed as a micro-manipulator for 1-D force sensing applications in biological cell injection. The goal is to fabricate a compliant sensor using piezoresistive and PVDF (polyvinylidene fluoride) elements for cell injection with sufficient accuracy. The designed sensor is manufactured and calibrated with a commercial GSO gram sensor. Experimental results show a good linearity between the applied force and output voltage signals, which demonstrates the feasibility of the concept design of a force sensor acting as the cell holder. The performances of the force sensor employing piezoresistive and PVDF elements are compared by conducting experimental studies.

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